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JeVois-A33 is an embedded machine vision and artificial intelligence platform that is capable of processing images and videos in real-time. It is a tiny, open-source vision system that combines a quad-core CPU, a GPU, and a machine vision algorithm in a single board that can fit on a small robot or other embedded device. The system is versatile enough to handle visual recognition of objects, facial recognition, tracking, depth sensing, and more.

Developed by Laurent Itti, a professor of computer science at the University of Southern California.

First introduced in 2015 as an open-source video sensor.

Successfully funded a Kickstarter campaign in 2016.

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